# Technical Document Extraction: Accuracy vs. Context Length Chart ## 1. Component Isolation * **Header:** None present. * **Main Chart Area:** A line graph plotted on a Cartesian coordinate system with a light gray dashed grid. * **Footer/Axes:** Contains the X-axis label "Context length" and the Y-axis label "Accuracy". ## 2. Axis and Label Extraction * **Y-Axis (Vertical):** * **Label:** Accuracy * **Scale:** 0.0 to 0.6 * **Major Tick Markers:** 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6 * **X-Axis (Horizontal):** * **Label:** Context length * **Scale:** Approximately 400 to 5600 * **Major Tick Markers:** 1000, 2000, 3000, 4000, 5000 ## 3. Data Series Analysis ### Trend Verification The data series is represented by a single solid blue line. * **Initial Phase (400 - 1200):** The line shows high volatility but maintains a relatively high accuracy between 0.45 and 0.58. * **Degradation Phase (1200 - 2600):** The line shows a sharp, consistent downward slope, indicating a significant loss in accuracy as context length increases. * **Baseline Phase (2600 - 5600):** The line flattens out, oscillating at a very low accuracy level (near 0.0 to 0.08), suggesting the model has reached a floor or "noise" level. ### Data Point Extraction (Estimated) Based on the grid intersections and axis markers, the following data points are extracted: | Context Length (X) | Accuracy (Y) | | :--- | :--- | | ~400 | 0.58 | | ~600 | 0.46 | | ~800 | 0.50 | | ~1000 | 0.44 | | ~1200 | 0.52 | | ~1400 | 0.40 | | ~1600 | 0.36 | | ~1800 | 0.38 | | ~2000 | 0.24 | | ~2200 | 0.20 | | ~2400 | 0.10 | | ~2600 | 0.04 | | ~2800 | 0.08 | | ~3000 | 0.04 | | ~3200 | 0.02 | | ~3400 | 0.04 | | ~3600 | 0.02 | | ~3800 | 0.02 | | ~4000 | 0.06 | | ~4200 | 0.04 | | ~4400 | 0.03 | | ~4600 | 0.02 | | ~4800 | 0.05 | | ~5000 | 0.08 | | ~5200 | 0.06 | | ~5400 | 0.04 | ## 4. Summary of Findings The chart illustrates a strong inverse relationship between "Context length" and "Accuracy". The performance of the system/model is highest at short context lengths (under 1200 units). A critical performance "cliff" occurs between context lengths of 1800 and 2600, where accuracy drops from approximately 38% to nearly 4%. Beyond a context length of 3000, the accuracy remains consistently low, failing to recover significantly.

# Technical Document Extraction: Line Graph Analysis ## 1. Axis Labels and Markers - **X-axis**: - Title: "Context length" - Values: 1000, 2000, 3000, 4000, 5000 (increments of 1000) - **Y-axis**: - Title: "Accuracy" - Values: 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6 (increments of 0.1) ## 2. Legend - **Position**: Right side of the graph - **Color**: Blue - **Label**: "Model Performance" ## 3. Data Series and Trends - **Line Color**: Blue (matches legend) - **Visual Trend**: - Starts at ~0.58 accuracy at 1000 context length. - Exhibits fluctuations with an overall **downward trend**. - Peaks at ~0.52 around 1500 context length. - Sharp decline to ~0.38 at 2000, ~0.25 at 2500, ~0.15 at 3000, ~0.05 at 4000. - Slight recovery to ~0.08 at 5000. ## 4. Key Data Points (x, y) | Context Length | Accuracy | |----------------|----------| | 1000 | 0.58 | | 1500 | 0.52 | | 2000 | 0.38 | | 2500 | 0.25 | | 3000 | 0.15 | | 4000 | 0.05 | | 5000 | 0.08 | ## 5. Observations - **Initial High Performance**: Accuracy begins near 0.6 at 1000 context length. - **Rapid Decline**: Steep drop to ~0.38 by 2000 context length. - **Stabilization at Lower Accuracy**: Fluctuates between 0.05–0.08 for context lengths ≥4000. - **No Additional Categories**: Single data series ("Model Performance") dominates the graph. ## 6. Missing Elements - No secondary data series, annotations, or textual explanations beyond axis labels and legend. - No gridlines or shaded regions present. ## 7. Conclusion The graph illustrates a **context-dependent accuracy decay** for "Model Performance," with diminishing returns as context length increases beyond 1000. Accuracy stabilizes at ~0.05–0.08 for longer contexts (≥4000).